{"id":"W2781588494","doi":"10.21173/newlibs/3/9","title":"Knowledge exchange","year":2017,"lang":"en","type":"article","venue":"Journal of New Librarianship","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"General partnership; Administration (probate law); Academic library; Column (typography); Business; Medical education; Knowledge management; Management; Public relations; Political science; Library science; Medicine; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01397788,0.0006342273,0.0006473526,0.003642283,0.005637497,0.0194686,0.002770674,0.003529771,0.08421682],"category_scores_gemma":[0.04695507,0.0004383566,0.0009987653,0.004011701,0.003751792,0.01834625,0.01720084,0.003591216,0.02987243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003734833,"about_ca_system_score_gemma":0.009004161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660198,"about_ca_topic_score_gemma":0.002023306,"domain_scores_codex":[0.980529,0.009272807,0.001669717,0.001660635,0.005367078,0.00150081],"domain_scores_gemma":[0.9690595,0.01225925,0.001691554,0.007680306,0.006464025,0.002845453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001101513,0.0001478817,0.001565843,0.0005662211,0.00005915202,0.0008289159,0.03013817,0.0005848474,0.0008167383,0.4653154,0.1674464,0.3324203],"study_design_scores_gemma":[0.00001438156,0.00002972562,0.0003900303,0.0005853904,0.00001433729,0.0003124846,0.009922282,0.0003277019,0.0003453803,0.08691313,0.9011152,0.0000298313],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006852311,0.003353827,0.05495482,0.04292319,0.003161805,0.0004495098,0.0005224163,0.0006045836,0.8871775],"genre_scores_gemma":[0.331557,0.009093532,0.07590332,0.0155265,0.002986095,0.001070602,0.002978875,0.0009634568,0.5599207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9805314,"threshold_uncertainty_score":0.2817333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3169822356067096,"score_gpt":0.4087790263843432,"score_spread":0.09179679077763364,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}